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Fossil fuel dependency in developed countries is worrisome due to the lack of energy security that traditional energy generation provides. In order to prevent future energy problems and to maintain a sustainable society, some countries are starting to develop renewable energy sources. In this research, biomass energy is introduced as a solution not only to reduce fossil fuel dependency, but also to improve municipal solid waste management. The purpose of this report is to construct a distributed power generation system combining the superheated steam gasification of solid waste and photovoltaic panels, and to verify the feasibility of generating power at the consumption site. It also focuses on optimizing the current waste superheated steam gasification system and compares the superheated steam gasification technology with other waste to energy technologies, such as downdraft air gasification and solid waste direct combustion. Finally, the report analyzes the economic, environmental and energetic viability of the above mentioned distributed generation system, which is located in a medium size mall surrounded by a community of 20,000 inhabitants. As a result, it was found that a distributed generation system composed by waste superheated steam gasification and photovoltaic panels is perfectly feasible, since its long term economic performance shows high profitability.

In this paper, a simplified mathematical model of distributed PV grid-connection is constructed under two control strategies based on the basic principles of distributed generation system. After that, the mapping relationship between the input data and the output predicted value is obtained by the time series prediction method, on the basis of which the distributed PV prediction model with hybrid model (CNN-LSTM) is established. Finally, the stability of customer load voltage is analyzed using the continuous tidal current method. The results show that the hybrid model constructed in this paper has high accuracy for predicting the load of distributed PV customers. Without affecting user satisfaction, the control strategy regulates each controllable load on the user side separately and transfers the load to the user side. The quantitative analysis of the static voltage stability of the distribution network before and after DC access confirms that the access to DC can effectively improve the static voltage stability of the distribution network, and the larger the access capacity is within the allowed range of the system, the better the static voltage stability is.

The power system of wind farms is generally characterized by a weak grid, in which voltages may be heavily distorted and imbalanced, challenging the control scheme of wind-power converters that must be impervious to such disturbances. The control scheme in the stationary natural abc-frame has shown good performance under non-ideal voltage conditions, and then this paper proposes to analyze the operational performance of a wind-power system based on a permanent magnet synchronous generator subject to non-ideal conditions of the grid voltage, with its control scheme devised in the abc-reference frame. The proposed control scheme considers the torque control decoupling the flux and torque for the generator-side, showing the possibility to implement the machine torque control, without any coordinates transformation using a closed loop dot-product approach, between the field flux and stator currents. For the grid-side converter, the load current compensation is proposed, using the load current decomposition and conservative power theory (CPT), improving the grid power quality. The simulation results estimate the performance of the grid-side control under distorted and asymmetrical voltages, and the generator-side control against torque disturbances due to wind speed variation. Finally, experimental results in a small-scale test bench validate the proposed control scheme in injecting active and reactive power into the grid, and the torque control under wind speed variation.

Microgrids technologies are seen as a cost effective and reliable solution to handle numerous challenges, mainly related to climate change and power demand increase. This is mainly due to their potential for integrating available on-site renewable energy sources and their flexibility and scalability. The particularity of microgrids is related to their capacity to operate in synchronization with the main grid or in islanded mode to secure the power supply of nearby end-users after a grid failure thanks to storage solutions and an intelligent control system. The most critical operating case occurs when a sudden transition from grid-connected (GC) to stand-alone operation (SA) happens. During the transition, the system experiences abrupt changes that can result in a malfunction of the control system and a possible failure of the power system. The transition issue attracted considerable attention from researchers. Indeed, many research works are proposed to address this issue by proposing detection and transition techniques that ensure a smooth transition at the islanding time. Although there are several approaches to dealing with this issue, a categorization of the proposed methods in the literature and their differences is useful to assist engineers and researchers working on this topic. Thus, this study proposes a comprehensive review to summarize these approaches and point out their advantages and limitations.

Renewable energy resources such as offshore wind and wave energy are environmentally friendly and omnipresent. A hybrid offshore wind-wave energy system produces a more sustainable form of energy that is not only eco-friendly but also economical and efficient as compared to use of individual resources. The objective of this paper is to give a detailed review of co-generation technologies for hybrid offshore wind and wave energy. The proposed area of this review paper is based on the power conversions techniques, response coupling, control schemes for co-generation and complimentary generation, and colocation and integrated conversion systems. This paper aims to offer a systematic review to cover recent research and development of novel hybrid offshore wind-wave energy (HOWWE) systems. The current hybrid wind-wave energy structures lack efficiency due to their design and AC-DC-AC power conversion that need to be improved by applying an advanced control strategy. Thus, using different power conversion techniques and control system methodologies, the HOWWE structure can be improved and will be transferrable to the other hybrid models such as hybrid solar and wind energy. The state-of-the-art HOWWE systems are reviewed. Critical analysis of each method is performed to evaluate the best possible combination for development of a HOWWE system.

Power quality (PQ) issues are significant in inverter‐fed distributed generation system with non‐linear loads which degrades the performance of the consumer equipments and the power system itself. Therefore, this work presents an improved photovoltaic (PV) coupled hybrid filter for the improvement in PQ in an active distribution system. A shunt hybrid active filter (SHAF) integrated with PV is designed with the help of an advanced signal processing approach called dual tree‐complex wavelet transform (DT‐CWT) for extracting the frequency information in the voltage and current due to the PQ disturbances. For calculating the reference current and switching signals, zero attracting least mean square (ZA‐LMS) is considered in the hybrid filter and adaptive perturb and observe‐fuzzy algorithm is proposed for maximum power point tracking in PV system to improve the performance under different operating conditions. The system model using the proposed technique is developed in MATLAB/Simulink and real‐time experimental set up using two different controllers, i.e. the conventional proportional‐integral (PI) and fuzzy‐PI controllers. The results on comparison illustrates better performance of the proposed ZA‐LMS and DT‐CWT with fuzzy‐PI based SHAF technique for PQ improvements with respect to that of LMS/normalised LMS with PI/fuzzy‐PI based SHAF under different operating scenarios.

A hybrid approach is proposed for an interconnected system's load frequency control mechanism. The proposed hybrid method combines the reptile search algorithm and honey badger algorithm methods. Commonly, it is named as the RSA–HBA technique. The proposed approach aims to reduce frequency discrepancies, improve transient response, and establish a foundation for the application of advanced optimization techniques. The overarching goal is to enhance power system stability and adaptability to dynamic conditions and contribute valuable insights to the field of power system control. Here, consider the two-area system with generation plants like distributed generation, (i.e., solar, wind turbine), thermal, hydro, and gas generation systems. The proposed method avoids faster disturbances with limited dynamics. Also, the RSA–HBA technique is used to improve the desired controller settings. Moreover, a high-voltage DC tie line is used to model the interconnected system. The proposed technique is implemented in the MATLAB software and compared with existing methods. When compared to alternative salp swarm optimization (SSA), SOA, and FFA techniques currently in use, the proposed approach performs better. From the simulation, the electric vehicle system provides a lower frequency variation and a lower variation of tie-line power, i.e., − 0.0019 MW.

In recent years, micro turbine technology has become a continuously reliable and viable distributed generation system. The application of distributed energy power generation sources, such as micro gas turbines (MGT), to charge electric vehicles offers numerous technical, economical benefits, and opportunities. MGT are considered as they are smaller than conventional heavy-duty gas turbines. They also are capable of accepting and operating with different fossil fuels in the range of low–high pressure levels as well as co-generation opportunities. The MGT could provide the fast and reliable output power guaranteed and needed for grid stability. This paper provides a mathematical representation, modelling, and simulation of a low-cost fast charging station based on a micro gas turbine and a super capacitor forming altogether a power generation system suitable for use especially as energy source in fast charging stations and dynamic power systems. All the micro gas turbine’s parameters are estimated according to available performance and operational data. The proposed system generates up to 30 kW output power assuming that it operates with natural gas. The developed model of the system is simulated in the environment of MATLAB/Simulink. Each part of the micro turbine generation system is represented by a mathematical model. On the basis of the developed model of the system, the minimum value of the supercapacitor was determined, which ensures the charging schedule of a selected electric vehicle.

Energy is one of the basic needs of socio-economic development of an area. The conventional method of electricity generation and grid-connected transmission and distribution system is expensive for the remote rural areas of India, resulting in lower per capita energy consumption. Grid connectivity or establishing new power plants using conventional energy sources is more difficult and expensive in the islands. The depletion of conventional energy sources is also another reason to explore alternative energy sources. Regardless of the cost and depletion of conventional energy sources, environmental issues are of greater concern on the islands. The pollution due to conventional energy sources destroys the biodiversity and ecological health of an island. The aim of the present study is to examine the distributed generation system using different renewable energy sources from the available meteorological data of the largest island in the Sundarbans deltaic complex, West Bengal, India, viz. Sagar Island. The vast number of renewable energy sources available in this island have been studied and the possibility of electricity generation is discussed. Moreover, the possible per unit cost is also estimated using levelized cost of energy.

This paper based on a practice adopted for improvement in the characteristic of frequency deviation of distributed generation-system (DGS) succeeding load and wind trepidation. DGS has very large order transfer function associated with mathematical calculation of frequency-power deviation. So, Reduced order modeling (ROM) of original DGS by means of Logarithmic pole approximation, Markov parameters, and time moments (LPC) help to effective analysis DGS. Three novel optimization algorithms, such as Battle Royal optimization (BRO), Chaotic atomic search optimization (CASO), and grasshopper optimization algorithm (GOA) taken for the first time to obtain optimum parameters associated with PID controller to reach decent dynamic-stability of the considered DGS. The obtained findings show that the suggested control technique algorithms with ROM are able to produce respectable outcomes and significantly increase the stability margin of DGS.